基于模型参数的2型糖尿病β细胞功能差异治疗效果:糖尿病降糖方法的结果:一项比较疗效研究(GRADE)。

IF 16.6
Diabetes care Pub Date : 2025-04-01 DOI:10.2337/dc24-2419
Kristina M Utzschneider, Mark Tripputi, Nicole M Butera, Andrea Mari, Samuel P Rosin, Mary Ann Banerji, Richard M Bergenstal, Necole Brown, Anders L Carlson, Ralph A DeFronzo, Michaela R Gramzinski, Tasma Harindhanavudhi, Alexandra Kozedub, William I Sivitz, Michael W Steffes, Ashok Balasubramanyam, Neda Rasouli
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引用次数: 0

摘要

目的:评价成人2型糖尿病(T2D)患者β细胞功能模型参数在降糖治疗过程中的变化及其与血糖恶化的关系。研究设计和方法:在糖尿病降糖方法:一项比较有效性研究(GRADE)中,从口服葡萄糖耐量试验的数学模型中得出的β细胞功能参数在基线(N = 4,712)和随机分配到甘精胰岛素、格列美脲、利拉鲁肽或西格列汀后的1,3和5年进行评估,并在基线二甲双胍的基础上添加。参数包括胰岛素分泌率(ISR)、葡萄糖敏感性(胰岛素对葡萄糖的反应)、速率敏感性(早期胰岛素反应)和增强。线性混合效应模型用于比较不同处理的变化。通过Cox比例风险和分类回归树(CART)分析,我们评估了模型参数与血糖衰竭之间的关系(A1C >7.5%;58.5更易与摩尔)。结果:β-细胞功能参数在治疗1年后有所增加,但随后在所有治疗中均有所下降。统计上有显著的变化。利拉鲁肽导致ISR、葡萄糖敏感性和增强的最大增加,在研究结束时仍高于基线。西格列汀改善了葡萄糖敏感性,对其他参数的影响不大。格列美脲暂时增加了ISR和速率敏感性,但最低限度地增加了葡萄糖敏感性或增强。甘精使速率敏感性增加最多。较高的β细胞功能参数对血糖恶化有保护作用,但治疗并没有改变这些参数与血糖结局之间的关系。结论:常见降糖药物影响t2dm患者β细胞功能的不同生理成分。无论采用何种治疗方式,较低的β细胞功能与早期血糖衰竭有关,并且β细胞功能在最初改善后逐渐下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential Treatment Effects on β-Cell Function Using Model-Based Parameters in Type 2 Diabetes: Results From the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).

Objective: To evaluate how model-based parameters of β-cell function change with glucose-lowering treatment and associate with glycemic deterioration in adults with type 2 diabetes (T2D).

Research design and methods: In the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), β-cell function parameters derived from mathematical modeling of oral glucose tolerance tests were assessed at baseline (N = 4,712) and 1, 3, and 5 years following randomization to insulin glargine, glimepiride, liraglutide, or sitagliptin, added to baseline metformin. Parameters included insulin secretion rate (ISR), glucose sensitivity (insulin response to glucose), rate sensitivity (early insulin response), and potentiation. Linear mixed-effects models were used to compare changes across treatments. With Cox proportional hazards and Classification And Regression Tree (CART) analyses we evaluated associations between model parameters and glycemic failure (A1C >7.5%; 58.5 mmol/mol).

Results: β-Cell function parameters increased variably at year 1 across treatments but subsequently declined for all treatments. Statistically significant changes were noted. Liraglutide led to the greatest increases in ISR, glucose sensitivity and potentiation, remaining above baseline at study end. Sitagliptin improved glucose sensitivity, with modest effects on other parameters. Glimepiride temporarily increased ISR and rate sensitivity but minimally increased glucose sensitivity or potentiation. Rate sensitivity increased most with glargine. Higher β-cell function parameters were protective against glycemic deterioration, but treatment did not alter the relationship between these parameters and glycemic outcomes.

Conclusions: Common glucose-lowering medications impact different physiologic components of β-cell function in T2D. Regardless of treatment modality, lower β-cell function associated with early glycemic failure, and β-cell function progressively declined after initial improvement.

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